@thesis{thesis,
		author={Djamain  Yasni and PAYSAL  SULTAN HABIBIE ALMUQNY ARIZALDY and Widiyanto  Max Teja Ajie Cipta},
		title ={FORECASTING STOCK BARANG DENGAN METODE TRIPLE EXPONENTIAL (STUDY KASUS : MUNIRA SETIA)},
		year={2021},
		url={http://156.67.221.169/4888/},
		abstract={Forecasting product release is one way to determineproduct stock in the warehouse. Sales
forecasting aims to prevent stock accumulation in PT. Munira Setia?s warehouse. And if stock
accumulation occurs it will affect the quality of selling products which are traditional snacks
and kitchen spices
The method applied to predict stock is Triple Exponential Smoothing because the data obtained
is data based on stock expenditure. And the resulting output is the result of forecasting stock
expenditures from the proccess of applying the Triple Exponential Smoothing method.
The final result is obtained by entering the previous month?s expenditures data from January to
November 2021. After the calculation, it will produce the accuracy value and the value of the
forecasting method. Forecasting results in the following month, namely December 2021, are
161,4 with an alpha value of 0,2 and the error value in forecasting or MAPE 20.1%}
		}